We explore a stacked framework for learning to predict dependency structures for natural language sentences. A typical approach in graph-based dependency parsing has been to assum...
: Emotional bonds don’t arise from a simple exchange of facial displays, but often emerge through the dynamic give and take of face-to-face interactions. This article explores th...
Jonathan Gratch, Ning Wang, Anna Okhmatovskaia, Fr...
The coding of information by neural populations depends critically on the statistical dependencies between neuronal responses. However, there is no simple model that can simultane...
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...